datacenter
By David Linthicum I’m not sure why our industry keeps falling into the trap that when a new concept emerges, there are near-immediate announcements that it runs best on one platform. Enterprises shouldn’t even think about other options. This VentureBeat article is an example, although it is more balanced than most. While many pundits present cloud computing as the only rational choice for AI, many hardware vendors declare that traditional hardware is the best option. Who’s right? The nuances of platform selectionThe questions I get at AI speaking events used to be some version of “what’s the ...
Info World
What is required to enable Private AI for enterprises? Chris Sharp, CTO, discusses AI’s unique requirements for power density and interconnectivity and how PlatformDIGITAL® has been the home of AI and HPC deployments for many years. Watch this video to hear how these early deployments influenced our AI and HPC solutions. One of the reasons why Digital Realty and PlatformDIGITAL® have been the home of AI is just our core expertise and support for many years of different power density requirements that are all heavily interconnected. We’ve anticipated since 2017 the fact that we needed to be mod...
CIO
In my role as CTO, I’m often asked how Digital Realty designs our data centers to support new and future workloads, both efficiently and sustainably. How do we ensure that data centers built for the simple enterprise use case of web hosting can support the next generation of artificial intelligence (AI) workloads and the huge volumes of data that must be stored, transmitted, and processed? My answer? Digital Realty first presented publicly on the implications of AI for data centers in 2017, but we were tracking its evolution well before that. We’ve built the required variability and modularity...
CIO
Artificial intelligence (AI) and high-performance computing (HPC) have emerged as key areas of opportunity for innovation and business transformation. The challenge for IT leaders is to enable these high-density workloads with the right IT infrastructure, and increasingly the community is discussing advanced cooling technologies like liquid cooling. While direct liquid cooling (DLC) is being deployed in data centers today more than ever before, would you be surprised to learn that we’ve been deploying it in our data center designs at Digital Realty since 2015? Did you also know that liquid coo...
CIO
By Simon Bisson Azure CTO Mark Russinovich’s annual Azure infrastructure presentations at Build are always fascinating as he explores the past, present, and future of the hardware that underpins the cloud. This year’s talk was no different, focusing on the same AI platform touted in the rest of the event. Over the years it’s been clear that Azure’s hardware has grown increasingly complex. At the start, it was a prime example of utility computing, using a single standard server design. Now it’s many different server types, able to support all classes of workloads. GPUs were added and now AI acc...
Info World
Artificial intelligence (AI), big data, and high-performance computing have shifted the digital landscape in many ways, particularly in the area of data growth and storage. As we rely more on technology, the surge in the volume of data presents new challenges in existing infrastructures. According to Gartner, AI-related data will account for 63% of all data by 2030, posing a higher requirement on the ability of automatic data scheduling and governance. This is why having enough storage is critical for business success in this landscape. To help businesses address their storage challenges, Huaw...
CIO
Se dice que los hechos son tozudos. Para la IA generativa, un hecho obstinado es que consume grandes cantidades de ciclos de cálculo, almacenamiento de datos, ancho de banda de red, energía eléctrica y aire acondicionado. A medida que los CIO responden a los mandatos corporativos de ‘hacer algo’ con la IA generativa, muchos lanzan iniciativas basadas en la nube o en las instalaciones. Pero mientras que la rentabilidad prometida por muchos proyectos de IA generativa es imprecisa, los costes de la infraestructura para ejecutarlos son finitos y, con demasiada frecuencia, inaceptablemente altos. C...
CIO
Facts, it has been said, are stubborn things. For generative AI, a stubborn fact is that it consumes very large quantities of compute cycles, data storage, network bandwidth, electrical power, and air conditioning. As CIOs respond to corporate mandates to “just do something” with genAI, many are launching cloud-based or on-premises initiatives. But while the payback promised by many genAI projects is nebulous, the costs of the infrastructure to run them is finite, and too often, unacceptably high. Infrastructure-intensive or not, generative AI is on the march. According to IDC, genAI workloads...
CIO
By Jeff Wittich The vast majority of company leaders (98%) recognize the strategic importance of AI, with nearly 65% planning increased investments. Global AI spending is expected to reach $300 billion by 2026. Also by 2026, AI’s electricity usage could increase tenfold, according to the International Energy Agency. Clearly, AI presents businesses with a dual challenge: maximizing AI’s capabilities while minimizing its environmental impact. In the United States alone, power consumption by data centers is expected to double by 2030, reaching 35GW (gigawatts), primarily due to the growing demand...
Info World
Europe, the Americas and Africa need more data, faster. Atlantic Convergence is the first conference and business event addressing the potential of pan-Atlantic digital infrastructure. This is where Europe, North and South America, and Africa converge. First Conference on New pan-Atlantic Business Opportunities Data largely drives digital transformation. It is key for global competitiveness and has great potential for economic growth and innovation. This is nowhere more evident than on the shores of the Atlantic Ocean. Rising pan-Atlantic digital demand is increasing the importance and acceler...
CIO
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